Struct MaximumCalibrationError 

pub struct MaximumCalibrationError {
    pub num_bins: usize,
}

Maximum Calibration Error (MCE) metric.

Measures the worst-case calibration error across all bins. MCE is the maximum absolute difference between confidence and accuracy in any bin.

Lower MCE indicates better calibration.

Reference: Guo et al. “On Calibration of Modern Neural Networks” (ICML 2017)

Fields

num_bins: usize

Number of bins for calibration

Implementations

impl MaximumCalibrationError

pub fn new(num_bins: usize) -> Self

Create with custom number of bins.

Trait Implementations

impl Clone for MaximumCalibrationError

fn clone(&self) -> MaximumCalibrationError

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MaximumCalibrationError

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for MaximumCalibrationError

fn default() -> Self

Returns the “default value” for a type.

impl Metric for MaximumCalibrationError

fn compute( &self, predictions: &ArrayView<'_, f64, Ix2>, targets: &ArrayView<'_, f64, Ix2>, ) -> TrainResult<f64>

Compute metric value.

fn name(&self) -> &str

Get metric name.

fn reset(&mut self)

Reset metric state (for stateful metrics).